{
 "cells": [
  {
   "cell_type": "raw",
   "id": "a016701c",
   "metadata": {},
   "source": [
    "---\n",
    "sidebar_label: Anthropic\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf733a38-db84-4363-89e2-de6735c37230",
   "metadata": {},
   "source": [
    "# ChatAnthropic\n",
    "\n",
    "This notebook covers how to get started with Anthropic chat models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d4a7c55d-b235-4ca4-a579-c90cc9570da9",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from langchain.chat_models import ChatAnthropic\n",
    "from langchain.schema import HumanMessage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "70cf04e8-423a-4ff6-8b09-f11fb711c817",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "chat = ChatAnthropic()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8199ef8f-eb8b-4253-9ea0-6c24a013ca4c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "messages = [\n",
    "    HumanMessage(\n",
    "        content=\"Translate this sentence from English to French. I love programming.\"\n",
    "    )\n",
    "]\n",
    "chat.invoke(messages)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c361ab1e-8c0c-4206-9e3c-9d1424a12b9c",
   "metadata": {},
   "source": [
    "## `ChatAnthropic` also supports async and streaming functionality:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "93a21c5c-6ef9-4688-be60-b2e1f94842fb",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from langchain.callbacks.manager import CallbackManager\n",
    "from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c5fac0e9-05a4-4fc1-a3b3-e5bbb24b971b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "await chat.ainvoke([messages])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "025be980-e50d-4a68-93dc-c9c7b500ce34",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "chat = ChatAnthropic(\n",
    "    streaming=True,\n",
    "    verbose=True,\n",
    "    callback_manager=CallbackManager([StreamingStdOutCallbackHandler()]),\n",
    ")\n",
    "chat.stream(messages)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3737fc8d",
   "metadata": {},
   "source": [
    "# ChatAnthropicMessages\n",
    "\n",
    "LangChain also offers the beta Anthropic Messages endpoint through the new `langchain-anthropic` package."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c253883f",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install langchain-anthropic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "07c47c2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain_anthropic import ChatAnthropicMessages\n",
    "\n",
    "chat = ChatAnthropicMessages(model_name=\"claude-instant-1.2\")\n",
    "chat.invoke(messages)"
   ]
  }
 ],
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